Jun Chu
Impact in
- Biomaterials top 5%
- Magnesium Alloys: Properties and Applications
-
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Video Surveillance and Tracking Methods 15
- Advanced Image and Video Retrieval Techniques 14
- Advanced Neural Network Applications 11
- Image Retrieval and Classification Techniques 9
- Advanced Vision and Imaging 7
- Biomaterials 15
- Magnesium Alloys: Properties and Applications 15
- Journals
- IEEE Access (6 papers)Colloids and Surfaces A Physicochemical and Engineering Aspects (5 papers)Multimedia Tools and Applications (4 papers)Engineering Applications of Artificial Intelligence (3 papers)Journal of Magnesium and Alloys (3 papers)
- Partner nations
- ChinaSouth KoreaJapan
In The Last Decade
Jun Chu
72 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 115
- Biomaterials 349
- Computer Vision and Pattern Recognition 458
- Mechanical Engineering 346
- Surfaces, Coatings and Films 60
- Media Technology 74
Countries citing papers authored by Jun Chu
This map shows the geographic impact of Jun Chu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jun Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Chu more than expected).
Fields of papers citing papers by Jun Chu
This network shows the impact of papers produced by Jun Chu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jun Chu. The network helps show where Jun Chu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Chu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 13 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 50 | |
| 9 | 2022 | 7 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 1 | |
| 12 | 2020 | 37 | |
| 13 | 2020 | 11 | |
| 14 | 2020 | 7 | |
| 15 | 2020 | 12 | |
| 16 | 2019 | 15 | |
| 17 | 2018 | 125 | |
| 18 | Clogging and Cementation Caused by Calcium or Iron Biogrouts | 2012 | 1 |
| 19 | Incorporation of 3-D Scanning Lidar Data into Google Earth for Real-time Air Pollution Observation | 2011 | 1 |
| 20 | A new affine invariant feature and its application in planar curves-matching | 2011 | 0 |
About Jun Chu
Jun Chu is a scholar working on Computer Vision and Pattern Recognition, Biomaterials, Media Technology, Safety, Risk, Reliability and Quality and Geology, having authored 80 papers that have together received 1.2k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (15 papers), Magnesium Alloys: Properties and Applications (15 papers), Advanced Image and Video Retrieval Techniques (14 papers), Advanced Neural Network Applications (11 papers), Image Retrieval and Classification Techniques (9 papers), Aluminum Alloys Composites Properties (9 papers), Advanced Vision and Imaging (7 papers) and Corrosion Behavior and Inhibition (6 papers). The work is most often cited by research in Biomaterials (349 citations), Computer Vision and Pattern Recognition (458 citations), Mechanical Engineering (346 citations), Surfaces, Coatings and Films (60 citations) and Media Technology (74 citations). Jun Chu has collaborated with scholars based in China, South Korea and Japan. Frequent co-authors include Libo Tong, Lu Leng, Jun Miao, Lu Leng, S. Kamado, Yiqing Zhang, Zhonghao Jiang, De Ning Zou, M.Y. Zheng and Hongjie Zhang. Their work appears in journals such as IEEE Access, Colloids and Surfaces A Physicochemical and Engineering Aspects, Multimedia Tools and Applications, Engineering Applications of Artificial Intelligence and Journal of Magnesium and Alloys.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.